Skull Stripping
Skull Stripping - Related Videos
01:22
Sutures of the Skull
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2025
The human skull is composed of several bones that come together to protect the brain and support the structures of the face. The junctions where these bones meet are called sutures. Sutures are immobile joints between adjacent bones of the skull. The narrow gap between the bones is filled with dense, fibrous connective tissue that unites the bones. The long sutures located between the skull bones are not straight but instead follow irregular, tightly twisting paths. These twisting lines tightly...
01:13
Voltammetry: Stripping Methods
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2024
Anodic Stripping Voltammetry (ASV), Cathodic Stripping Voltammetry (CSV), and Adsorptive Stripping Voltammetry (AdSV) are electrochemical techniques used to determine trace amounts of analytes in solution. These methods involve applying a potential to an electrode and measuring the resulting current. Anodic Stripping Voltammetry (ASV) ASV is used to determine metals and metalloids at trace levels. It involves two steps: deposition and stripping. First, a negative potential is applied to the...
02:19
Determining the Antibacterial Efficacy of an Antibiotic-Loaded Polymeric Strip
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2025
Source: Sekar, A., et. al., A Novel Method to Determine the Longitudinal Antibacterial Activity of Drug-Eluting Materials. J. Vis. Exp. (2023)This video demonstrates a luminescence-based assay for assessing the antibacterial efficacy of an antibiotic-loaded polymeric strip by quantifying ATP-driven luminescence, which decreases in bacterial cultures exposed to the antibiotic.
06:28
Isolating Immune Cells from Mouse Brain and Skull
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Cited by 1 •
2024
To investigate the immune response to brain disorders, one common approach is to analyze changes in immune cells. Here, two simple and effective protocols are provided for isolating immune cells from murine brain tissue and skull bone marrow.
11:48
Development of a Colloidal Gold-based Immunochromatographic Test Strip for Detection of Cetacean Myoglobin
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Cited by 5 •
2016
This protocol describes the development of two IgG class monoclonal antibodies (mAbs) strongly reactive to myoglobin of cetaceans. These mAbs are applied on a colloidal gold immunochromatographic test strip based on the sandwich format to differentiate the Mb of cetaceans from seal and other animals.
FAQs
The boundary is inferred by combining three kinds of image evidence: signal-intensity differences, anatomical shape, and spatial relationships. These cues help a segmentation algorithm distinguish intracranial tissue from surrounding structures rather than relying on a single threshold or visual feature. Their joint use supports creation of a mask that more closely follows the brain’s anatomical extent for later analysis.
A binary mask is the key computational output because it records which image locations belong to the retained intracranial region. Once generated, that mask can be applied to produce a brain-focused representation, reducing the influence of scalp, skull, and other nonbrain tissues. The resulting isolation makes subsequent computational analysis more targeted and efficient.
For brain-volume measurement, the mask establishes which pixels or voxels should be included in the brain-focused representation. Volume estimates therefore depend not only on the measurement calculation but also on how accurately the segmentation follows the brain boundary. A mask that excludes relevant tissue or retains nonbrain structures can alter the quantitative result.
A typical workflow begins with a medical image, applies segmentation based on signal intensity, anatomical shape, and spatial relationships, and produces a binary mask. The mask then isolates intracranial tissue for later processing. In this sequence, skull stripping functions as an upstream preparation step, so its quality can influence registration, tissue classification, lesion detection, and volume measurement.
Researchers can use the processed representation in registration, tissue classification, lesion detection, and brain-volume measurement. Registration benefits from focusing analysis on brain content, while classification and lesion-detection workflows receive an input with nonbrain tissues removed. The same preprocessing also supports quantitative imaging studies, where isolation helps focus measurements on brain-related features.
In medicine and neuroscience, reliable skull stripping supports both clinical assessment and automated imaging workflows. It is also relevant to quantitative studies because the brain-only representation can serve as a common input for downstream analyses. However, it should not be treated as infallible: errors in the mask may propagate into diagnostic or research results.